AI stuns scientists : Superbug mystery solved in 48 hours after decade long research
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AI Confirms Unique Research
Professor José R. Penadés and his team had theorized that superbugs develop resistance by forming a tail composed of multiple viruses, allowing them to move between species. This hypothesis was unique to their research and had not been published or shared anywhere. To their surprise, Co-Scientist not only confirmed their findings but also suggested four additional hypotheses, all of which were valid.
«It's not just that the top hypothesis they provided was the right one,» Penadés told the BBC. «It's that they provided another four, and all of them made sense. And for one of them, we never thought about it, and we're now working on that.»
Shock and Initial Concerns
The speed and accuracy of the AI tool left Penadés in disbelief. He initially suspected that Google might have accessed his unpublished research without permission. «I was shopping with somebody, and I said, 'Please leave me alone for an hour, I need to digest this thing,'» he recounted. Concerned about potential data breaches, he even contacted Google to ask if they had access to his computer, but the tech giant assured him they did not.
The Power of AI in Scientific Research
Co-Scientist, built on Google's Gemini 2.0 AI system, is designed as a «virtual scientific collaborator» that can generate new hypotheses and research proposals. According to Google, the
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